Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/32461
Título: | Networking the way towards antimicrobial combination therapies |
Autor(es): | Jorge, Paula Alexandra Silva Pereira, Maria Olívia Lourenço, Anália |
Palavras-chave: | Antimicrobial peptides Drug synergism Interaction network Pseudomonas aeruginosa infections |
Data: | 2014 |
Editora: | Springer |
Revista: | Advances in intelligent systems and computing |
Resumo(s): | The exploration of new antimicrobial combinations is a pressing concern for Clinical Microbiology due to the growing number of resistant strains emerging in healthcare settings and in the general community. Researchers are screening agents with alternative modes of action and interest is rising for the potential of antimicrobial peptides (AMPs). This work presents the first ever network reconstruction of AMP combinations reported in the literature fighting Pseudomonas aeruginosa infections. The network, containing 193 combinations of AMPs with 39 AMPs and 154 traditional antibiotics, is expected to help in the design of new studies, notably by unveiling different mechanisms of action and helping in the prediction of new combinations and synergisms. The challenges faced in the attempted text-mining approaches and other considerations regarding the manual curation of the data are pointed out, reflecting about the future automation of this type of reconstruction as means to widen the scope of analysis. |
Tipo: | Artigo em ata de conferência |
Descrição: | Publicado em "8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014)" |
URI: | https://hdl.handle.net/1822/32461 |
ISBN: | 9783319075808 |
DOI: | 10.1007/978-3-319-07581-5_24 |
ISSN: | 2194-5357 |
e-ISSN: | 2194-5365 |
Versão da editora: | http://www.springer.com/series/11156 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_17785_1.pdf | 247,69 kB | Adobe PDF | Ver/Abrir |